Bayesian Optimization Objective-Based Experimental Design

Imani, Mahdi; Ghoreishi, Seyede Fatemeh

doi:10.23919/acc45564.2020.9147824

Cited by 45 publications

(17 citation statements)

References 62 publications

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“…Zhang et al (2018Zhang et al ( , 2019 studied the optimization of PnCs with uncertain material properties and diffuse regions, respectively. In addition, many studies also focused on the robust design or estimation with uncertainty (Imani and Ghoreishi 2020;.…”

Section: Introductionmentioning

confidence: 99%

Topology optimization of periodic barriers for surface waves

Liu

Dong

2020

Struct Multidisc Optim

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Dispersion engineering is always the important topic in the field of artificial periodic structures. In particular, topology optimization of composite structures with expected bandgaps plays a key role. However, most reported studies focused on topology optimization for bulk waves, and the optimization for surface wave bandgaps (SWBGs) is still missing. In this paper, we develop a topology optimization framework based on the genetic algorithm and finite element method to design periodic barriers embedded in semi-infinite space for reducing surface waves on demand. The objective functions for SWBGs are proposed based on the energy distribution properties of surface waves. The numerical results show that the optimization framework has stable convergence for this problem and is effective to optimize SWBGs. Considering large SWBGs and low filling fraction of solids, we investigate single-and multi-objective optimizations, respectively, and obtain novel wave barriers with good performance. The beneficial configuration features and mechanism of broadband SWBGs from the optimized results are explored. The results indicate that for the first-order SWBG, most optimized structures consist of a main scatterer at the center and some subsidiary scatterers near the surface. The rigid body resonance of the main scatterer determines the lower edge of SWBG, and the subsidiary scatterers can regulate the upper edge. Higher-order SWBGs are generated from the interaction of multiple scatterers, whose relative distance has a great influence on the position of SWBGs. The optimized structures can make the surface waves propagate far away from the surface within the frequencies of bandgaps, leading to a strong attenuation of surface vibration. In practice, our topological optimization framework is promising in designing high-performance surface wave devices and novel isolating structures for earthquake or environmental vibration in civil engineering.

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Section: Introductionmentioning

confidence: 99%

Topology optimization of periodic barriers for surface waves

Liu

Dong

2020

Struct Multidisc Optim

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“…3 shows the expected trend as power available falls with fuel availability, resulting in increase in redundant engines and by extension redundant power. The results presented in Figs 4 and 5, show an 89% probability of the URR dropping from 34,800m 3 to 2,837m 3 while the power derivable could fall from 16.7MW to 1.4MW over the 20-year period.…”

Section: Resultsmentioning

confidence: 89%

“…Palisade's @RISK software was used in exploring uncertainties with the URR. A deterministic value of 40,000m 3 was implanted as most likely, with a lower limit of 20,000m 3 and an upper limit of 60,000m 3 on a Pert Distribution. To reflect the forecast of the capital investment, a triangular probability distribution was used.…”

Section: A Risk Analysismentioning

confidence: 99%

“…The study reveals that series connected electrical components with a bypass switch provided a better link than the parallel connected system. A design frame work utilizing the combination of Bayesian optimization and mean objective cost of uncertainty was proposed by Imani and Ghoreishi [3], to enable the expansion of experimental design spaces and systems.…”

Section: Introductionmentioning

confidence: 99%

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Risk Analysis of Associated Gas Utilization in Power Plants

Allison¹,

Agbadede²

2020

EJERS

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This study presents the analysis of associated gas fueled gas turbine power plant with a view to harnessing associated gas. GASTURB performance simulation software was employed to model and simulate the design and off design performance of the various engines that made up the power plant investigated. Monte Carlo Simulation using Palisade’s @RISK software was employed to conduct the risk analysis of associated fueled gas turbine by incorporating different variables. A decline rate of -13% was applied over the 20-year period of power plant life, beginning from Year 2015. When the distribution curves for the clean and degraded conditions of DS25 engine set were compared, the plots show that the clean condition generates higher profit than the degraded condition. Also, when the clean condition for DS25 and LM6K engine sets were compared, the distribution curve plots show that the cluster of DS25 engine set generates a higher profit than the LM6K engine set.

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“…Besides the previous traditional analytical form of guidance laws, the computational guidance law has been studied in [13][14][15]. In fields of plant entry [16,17], spacecraft descent guidance [18,19], rendezvous and proximity [20],orbit transfer problem [21], powered descent and landing [22], trajectory optimization [23][24][25], etc., convex programming has been verified that it can solve nonlinear optimization problem efficiently and accurately.…”

Section: Introductionmentioning

confidence: 99%

A New Optimal Guidance Law with Impact Time and Angle Constraints Based on Sequential Convex Programming

Pei

Wang

2021

Mathematical Problems in Engineering

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This paper proposed an optimal time-varying proportional navigation guidance law based on sequential convex programming. The guidance law can achieve the desired impact angle and impact time with look angle and lateral acceleration constraints. By treating the multiconstraints’ guidance problem as an optimization problem and changing the independent variable to linearize the problem and constraints, the original nonlinear and nonconvex problem is transformed into a series of convex optimization problem so that it can be quickly solved by sequential convex programming. Numerical simulations compared to nonlinear programming and traditional analytical guidance law demonstrate the effectiveness and efficiency of the proposed algorithm. Finally, the proposed guidance law is verified to satisfy different impact time periods and impact angle constraints.

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Bayesian Optimization Objective-Based Experimental Design

Cited by 45 publications

References 62 publications

Topology optimization of periodic barriers for surface waves

Topology optimization of periodic barriers for surface waves

Risk Analysis of Associated Gas Utilization in Power Plants

A New Optimal Guidance Law with Impact Time and Angle Constraints Based on Sequential Convex Programming

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